Zobrazeno 1 - 10
of 841
pro vyhledávání: '"Camera pose"'
Publikováno v:
Egyptian Journal of Remote Sensing and Space Sciences, Vol 27, Iss 4, Pp 743-752 (2024)
Augmented reality has a long research history in computer vision and computer graphics communities. It aims to enhance the user experience for real scenes via overlapping virtual objects. Nowadays, mobile augmented reality has attracted much attentio
Externí odkaz:
https://doaj.org/article/3a4ac43c9fac4817bb5bd792d6a81734
Autor:
M. Fatih Aydogdu, M. Fatih Demirci
Publikováno v:
IEEE Access, Vol 12, Pp 160884-160895 (2024)
To address the challenge of relative camera pose estimation, many permutation-invariant neural networks have been developed to process sparse correspondences with constant latency. These networks typically utilize an n-to-n framework, where n putativ
Externí odkaz:
https://doaj.org/article/93f2dcf5af3d4330a0d41ce21de48233
Publikováno v:
Remote Sensing, Vol 16, Iss 23, p 4382 (2024)
2D-3D registration is increasingly being applied in various scientific and engineering scenarios. However, due to appearance differences and cross-modal discrepancies, it is demanding for image and point cloud registration methods to establish corres
Externí odkaz:
https://doaj.org/article/c724cda6873742c3a1909670170378fc
Publikováno v:
World Electric Vehicle Journal, Vol 15, Iss 8, p 339 (2024)
A monocular ranging method for forward vehicles in intelligent driving is proposed. This method measures vehicle distance more accurately under the condition of a single camera and can estimate camera attitude in real-time. For the estimation of came
Externí odkaz:
https://doaj.org/article/ef002e5497d74dc483d3973dd9a95d5b
Autor:
Pablo García-Ruiz, Francisco J. Romero-Ramirez, Rafael Muñoz-Salinas, Manuel J. Marín-Jiménez, Rafael Medina-Carnicer
Publikováno v:
Sensors, Vol 24, Iss 13, p 4303 (2024)
Estimating the pose of a large set of fixed indoor cameras is a requirement for certain applications in augmented reality, autonomous navigation, video surveillance, and logistics. However, accurately mapping the positions of these cameras remains an
Externí odkaz:
https://doaj.org/article/adcf98fafa9a4b2a80eef8305b68f644
Publikováno v:
Applied Sciences, Vol 14, Iss 11, p 4405 (2024)
Balancing adaptability, reliability, and accuracy in vision technology has always been a major bottleneck limiting its application in appearance assurance for complex objects in high-end equipment production. Data-driven deep learning shows robustnes
Externí odkaz:
https://doaj.org/article/25aecfffc3d5490f90e2536300f50dc1
Publikováno v:
IEEE Access, Vol 11, Pp 130319-130328 (2023)
CNN-based absolute camera pose estimation methods lack scene generalizability as the network is trained with scene-specific parameters. In this paper, we aim to solve the scene generalizability problem in 6-DoF camera pose estimation using a novel de
Externí odkaz:
https://doaj.org/article/2dbedd66bd824874912bf25391d3ec6d
Publikováno v:
IEEE Access, Vol 11, Pp 96043-96051 (2023)
The perspective-n-point problem (PnP) is one of the most fundamental problems in photogrammetry and computer vision. Recently, prior motion knowledge has been applied to help solve the problem, generating a perspective-two-point (P2P) problem, also k
Externí odkaz:
https://doaj.org/article/b73a69fb1be2462f9d9b39230bb54bd8
Publikováno v:
IEEE Access, Vol 11, Pp 43985-44009 (2023)
Camera localization involves the estimation of the camera pose of an image from a random scene. We used a single image or sequence of images or videos as the input. The output depends on the representation of the scene and method used. Several comput
Externí odkaz:
https://doaj.org/article/3d2aaad77efc445db79ed9fded7f4856
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